head to head · open source

strix vs giskard-oss

strix has 63,281 GitHub stars, 6,903 forks, 383 open issues and last shipped yesterday. giskard-oss has 5,823 stars, 537 forks, 64 open issues and last shipped 2 days ago. strix leads on adoption by 987% (63,281 vs 5,823 stars). strix is written in Python under Apache-2.0; giskard-oss is written in Python under Apache-2.0. strix has attracted 11% as many forks as stars, giskard-oss 9%. strix was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai-security), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

strix ★ 63K giskard-oss ★ 5.8K category AI & Machine Learning

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Side by side

strix giskard-oss
GitHub stars ★ 63K ★ 5.8K
License Apache-2.0 Apache-2.0
Written in Python Python
Last push 2026-09-17 2026-09-16
Forks ⑂ 6.9K ⑂ 537
Self-hosting Yes Yes
Data ownership Your server Your server

pick strix if

  • You weight community size — 63K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full strix profile →

pick giskard-oss if

  • You want the giskard-oss feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Python
  • You evaluated both and giskard-oss fits your workflow better

full giskard-oss profile →

About strix

Strix is an open source AI penetration testing tool that deploys autonomous AI agents against a running codebase to find, validate, and fix application vulnerabilities, built for developers and security teams who want dynamic security testing without the cost and scheduling overhead of manual pentesting.

read the full strix overview →

About giskard-oss

Giskard OSS is an open source Python library for evaluating, red teaming and testing LLM agents and RAG pipelines, built for developers, ML engineers and AI security teams that need reproducible checks on non deterministic systems.

read the full giskard-oss overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 246K Ollama ★ 181K Dify ★ 156K Open WebUI ★ 152K langchain ★ 147K

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strix vs shannon strix vs skillspector strix vs ifixai strix vs codex-security strix vs garak strix vs ai-infra-guard strix vs agentic-bug-hunter openclaw vs hermes-agent openclaw vs open-webui openclaw vs lobechat openclaw vs anythingllm openclaw vs cherry-studio openclaw vs nanobot openclaw vs jan openclaw vs librechat ollama vs llama-cpp ollama vs vllm ollama vs gpt4all ollama vs llama-index ollama vs localai llama-cpp vs vllm ollama vs pageindex ollama vs langfuse dify vs langchain

More AI Security & Privacy projects

Compare either of these against the rest of the AI Security & Privacy field.

strix vs shannon strix vs SkillSpector strix vs iFixAi strix vs codex-security strix vs garak strix vs AI-Infra-Guard strix vs Agentic-Bug-Hunter strix vs nono strix vs CyberStrike strix vs AiSOC strix vs pentest-ai-agents strix vs toolhive

Frequently asked questions

Is strix or giskard-oss more popular?

strix has 63,281 GitHub stars and giskard-oss has 5,823. strix has the larger community by that measure.

Are strix and giskard-oss free?

Both are open source. strix is licensed under Apache-2.0 and giskard-oss under Apache-2.0. Neither carries a licence fee.

What is the difference between strix and giskard-oss?

strix is written in Python and giskard-oss in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, strix or giskard-oss?

Choose strix if you want the larger community (63,281 stars) or its Apache-2.0 licence terms. Choose giskard-oss if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.